sidaga123/autotrain-data-fdsfds

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# AutoTrain Dataset for project: fdsfds

## Dataset Description

This dataset has been automatically processed by AutoTrain for project fdsfds.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"context": "Levy Card Transaction\nAccount XXXX3724\nCard XXXX6333\nRUB 950.9\nMcDonald's Fast Food Berlin Germany\n16/02/23 16:26\nAvailable Balance RUB 265123.86",
"question": "What is the transaction type?",
"answers.text": [
"Debit"
],
"answers.answer_start": [
0
]
},
{
"context": "Purchase Card Transaction\nAccount XXXX8364\nCard XXXX8220\nMYR 221.08\nAmazon Online Marketplace Tokyo Japan\n24/11/22 00:51\nAvailable Balance MYR 386077.5",
"question": "What is the Merchant Name?",
"answers.text": [
"Amazon"
],
"answers.answer_start": [
68
]
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"context": "Value(dtype='string', id=None)",
"question": "Value(dtype='string', id=None)",
"answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
"answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name | Num samples |
| ------------ | ------------------- |
| train | 2240 |
| valid | 560 |

原始信息汇总

AutoTrain 数据集描述

数据集描述

该数据集由 AutoTrain 自动处理，用于项目 fdsfds。

语言

数据集的语言 BCP-47 代码为 unk。

数据集结构

数据实例

数据集的一个示例如下：

json [ { "context": "Levy Card Transaction Account XXXX3724 Card XXXX6333 RUB 950.9 McDonalds Fast Food Berlin Germany 16/02/23 16:26 Available Balance RUB 265123.86", "question": "What is the transaction type?", "answers.text": [ "Debit" ], "answers.answer_start": [ 0 ] }, { "context": "Purchase Card Transaction Account XXXX8364 Card XXXX8220 MYR 221.08 Amazon Online Marketplace Tokyo Japan 24/11/22 00:51 Available Balance MYR 386077.5", "question": "What is the Merchant Name?", "answers.text": [ "Amazon" ], "answers.answer_start": [ 68 ] } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "context": "Value(dtype=string, id=None)", "question": "Value(dtype=string, id=None)", "answers.text": "Sequence(feature=Value(dtype=string, id=None), length=-1, id=None)", "answers.answer_start": "Sequence(feature=Value(dtype=int32, id=None), length=-1, id=None)" }

数据集分割

该数据集被分割为训练集和验证集。分割大小如下：

分割名称	样本数量
train	2240
valid	560